New AI capabilities help DBAs move from performance visibility to performance resolution--turning slow queries into actionable index recommendations in minutes HOUSTON, March 19, 2026 /PRNewswire/ -- ...
Abstract: Most existing table structure recognition methods can be classified into two major categories: detecting table borders methods and detecting table rows and columns methods. The method of ...
Tabular data are crucial in many fields and their understanding by large language models (LLMs) under high parameter efficiency paradigm is important. However, directly applying parameter-efficient ...
Database administrator with 14+ years of hands-on experience in database management and database design.
Abstract: Methods for converting natural language into structured query statements (Natural Language to SQL, NL2SQL) often focus solely on linguistic aspects and table content, neglecting crucial data ...
Hello there! 👋 I'm Luca, a BI Developer with a passion for all things data, Proficient in Python, SQL and Power BI ...
A notable challenge in artificial intelligence has been interpreting and reasoning with tabular data using natural language processing. Unlike traditional text, tables are a more complex medium, rich ...